Triple
T33239232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marattia fraxinea |
E850916
|
entity |
| Predicate | hasRhizomeFunction |
P176806
|
FINISHED |
| Object | storage of nutrients |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: storage of nutrients | Statement: [Marattia fraxinea, hasRhizomeFunction, storage of nutrients]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRhizomeFunction Context triple: [Marattia fraxinea, hasRhizomeFunction, storage of nutrients]
-
A.
hasRhizomes
Indicates that an organism possesses rhizomes, meaning it has horizontal underground stems used for storage, vegetative reproduction, or spread.
-
B.
hasRhizomeType
Indicates that an entity is associated with a specific type or form of rhizome.
-
C.
hasRhizoids
Indicates that an organism possesses rhizoids, i.e., root-like structures used for anchorage or absorption.
-
D.
rhizoidType
Indicates the specific kind or category of rhizoid structure associated with an organism or anatomical feature.
-
E.
hasTendrils
Indicates that an entity possesses tendril-like extensions or appendages.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6f37f36ac8190b1bff8711d6771cb |
completed | May 3, 2026, 7:04 a.m. |
Created at: May 1, 2026, 1:31 a.m.